Data Analyst

vor 1 Woche

Zürich, Zürich, Schweiz EthonAI Vollzeit


Artificial Intelligence holds immense potential for improving our lives and our work. One key challenge is its effective application in manufacturing. At EthonAI, you will have the unique opportunity to shape the manufacturing landscape across entire industries. As a member of our team, you will have the chance to tackle intricate data and engineering challenges using state-of-the-art technologies.

Who is EthonAI?

EthonAI pioneers a new category of software: the Manufacturing Analytics System (MAS). With its powerful software suite, EthonAI helps manufacturers achieve operational excellence at scale. We are backed by leading international investors and have been featured as thought leaders on recognized industry benchmarks and media. Our software products are used by Fortune 500 companies and industry leaders across Europe and the US.

We are multinational, multifaceted, and action-oriented. We are intentional about the principles that guide us every day: create immediate impact and value, play in the top league, and create the best place to work and grow.

What is this job about?

As a Data Analyst at EthonAI you will engage directly with our customers, using data and analysis to understand their pain points, and leverage your insights to shape the product development. You will work cross-functionally with partners across Product, Engineering and Sales, using a data-driven approach to ensure we are empowering our customers to get the most out of our EthonAI products.

First and foremost, we believe in curious people who are eager to learn and grow. Please also reach out if you don't check all the points mentioned here.

What do you need to succeed in this role?

Your Roles & Responsibilities

  • Engage directly with customers, including visiting their factories, to understand and empathize with their pain points.
  • Use EthonAI's tools to provide proofs of value and additional insights to customers.
  • Write custom data loaders for the EthonAI platform, in collaboration with engineers and customers.
  • Work cross-functionally with the product, engineering and sales teams to provide the customers' point of view, to help us perfect our platform and product offering.

Your Experience & Skills

  • You hold an academic degree from a relevant field, such as Computer Science. A Master's degree for recent graduates, but a Bachelor's backed with real-world experience can also work.
  • You have worked as a data analyst, data scientist or data engineer for at least 3 years.
  • You enjoy directly with customers to solve their problems.
  • You have working knowledge of Python and SQL.
  • Demonstrated ability to use data to understand customer pain-points.
  • Excellent communication skills in spoken and written English.
  • Experience with IoT applications that run on premise and in the cloud is a plus.
Why is EthonAI right for you?

We foster a culture where team members can grow and learn from each other. We are dedicated to being the workplace where each of us thrives.

We also offer a good handful of specific benefits:

  • Comprehensive compensation package with stock options to become a co-owner of EthonAI.
  • On-site work is important, with significant scope for flexible schedules and partially remote work.
  • A CHF 2'000 yearly bonus when you take two consecutive weeks of vacation.
  • Flexible parental leave.
  • Support for continued learning, such as online courses and conferences.
  • Our office has a south-facing rooftop terrace equipped with a nice BBQ.

At EthonAI, there always are plenty of opportunities to step up and take charge. Other keys to our job satisfaction are the palpable impact we have on the real world, and being part of a top-notch team that is focused on a successful outcome for all.

EthonAI is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We particularly encourage applications from individuals traditionally underrepresented in tech.


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